The aim of this study is to contribute at the characterization of vibration behavior in a five-phase flux switching machine permanent magnet (FSPM) under interturn short-circuit conditions. In this article, the vibration signature is obtained by experimental tests under both healthy and insulation failure conditions at 2100 rpm rotational speed. To extend the comprehension of short-circuit fault behavior, a previously implemented multiphysics model is adapted to studied cases. By a Finite Element Analysis (FEA)-based model, the radial component of magnetic induction in the airgap is calculated. The magnetic model is coupled to analytical mechanical model to determinate the displacement of inner circumference stator points. Following validation, this model is employed to study several configurations of short-circuit fault and the detection and discrimination of short circuit fault are discussed. Finally, an analysis of limitations and improvements of model is proposed.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Detection and Localization of Interturn Short-Circuit Fault by Analysis of Stator Accelerations Spectrum in Five-Phase Flux Switching Machine for HEV Application


    Contributors:


    Publication date :

    2020-09-10


    Size :

    1581337 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English